Zobrazeno 1 - 10
of 745
pro vyhledávání: '"Quintanilla J"'
Publikováno v:
New J. Phys. 26, 093038 (2024)
We study quantum advantage in one-step rendezvous games on simple graphs analytically, numerically, and using noisy intermediate-scale quantum (NISQ) processors. Our protocols realise the recently discovered [arXiv:2207.14404] optimal bounds for smal
Externí odkaz:
http://arxiv.org/abs/2405.14951
Autor:
Tula, T., Möller, G., Quintanilla, J., Giblin, S. R., Hillier, A. D., McCabe, E. E., Ramos, S., Barker, D. S., Gibson, S.
Publikováno v:
J. Phys.: Conf. Ser. 2164, 012018 (2022)
Machine learning (ML) methods have proved to be a very successful tool in physical sciences, especially when applied to experimental data analysis. Artificial intelligence is particularly good at recognizing patterns in high dimensional data, where i
Externí odkaz:
http://arxiv.org/abs/2112.09601
Employing a realistic tight-binding model describing the Fermi surface in the normal state of $Sr_2RuO_4$ we map out magnetic field versus temperature phase diagrams for $d_{x^2-y^2} (B_{1g})$ and $d_{xz}+id_{yz} (E_g)$ pairing types. Both produce (i
Externí odkaz:
http://arxiv.org/abs/2111.00257
Autor:
de Albóniga-Chindurza, A., Ortega-Quintanilla, J., Moniche, F., San Román, L., Zapata-Arriaza, E., Escudero-Martínez, I., Zapata, M., Pérez-Sánchez, S., Gamero, M.A., Barragán-Prieto, A., Lebrato, L., Pardo-Galiana, B., Cabezas, J.A., Ainz, L., Cayuela, A., Montaner, J., González, A.
Publikováno v:
In Neurología (English Edition) September 2024 39(7):530-539
Autor:
de Albóniga-Chindurza, A., Ortega-Quintanilla, J., Moniche, F., San Román, L., Zapata-Arriaza, E., Escudero-Martínez, I., Zapata, M., Pérez-Sánchez, S., Gamero, M.A., Barragán-Prieto, A., Lebrato, L., Pardo-Galiana, B., Cabezas, J.A., Ainz, L., Cayuela, A., Montaner, J., González, A.
Publikováno v:
In Neurología September 2024 39(7):530-539
Autor:
Tula, T., Möller, G., Quintanilla, J., Giblin, S. R., Hillier, A. D., McCabe, E. E., Ramos, S., Barker, D. S., Gibson, S.
In recent years, Artificial Intelligence techniques have proved to be very successful when applied to problems in physical sciences. Here we apply an unsupervised Machine Learning (ML) algorithm called Principal Component Analysis (PCA) as a tool to
Externí odkaz:
http://arxiv.org/abs/2010.04742
Publikováno v:
Phys. Rev. B 102, 235203 (2020)
Recent nuclear magnetic resonance experiments measuring the Knight shift in $Sr_2RuO_4$ have challenged the widely accepted picture of chiral pairing in this superconductor. Here we study the implications of helical pairing on the superconducting sta
Externí odkaz:
http://arxiv.org/abs/2007.03811
Autor:
Shang, T., Ghosh, S. K., Zhao, J. Z., Chang, L. -J., Baines, C., Lee, M. K., Gawryluk, D. J., Shi, M., Medarde, M., Quintanilla, J., Shiroka, T.
Publikováno v:
Phys. Rev. B 102, 020503 (2020)
We report the discovery of Zr$_3$Ir as a new type of unconventional noncentrosymmetric superconductor (with $T_c = 2.3$ K), here investigated mostly via muon-spin rotation/relaxation ($\mu$SR) techniques. Its superconductivity was characterized using
Externí odkaz:
http://arxiv.org/abs/1901.01414
Akademický článek
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Autor:
Shang, T., Smidman, M., Ghosh, S. K., Baines, C., Chang, L. J., Gawryluk, D. J., Barker, J. A. T., Singh, R. P., Paul, D. Mck., Balakrishnan, G ., Pomjakushina, E., Shi, M., Medarde, M., Hillier, A. D., Yuan, H. Q., Quintanilla, J., Mesot, J., Shiroka, T.
Publikováno v:
Phys. Rev. Lett. 121, 257002 (2018)
To trace the origin of time-reversal symmetry breaking (TRSB) in Re-based superconductors, we performed comparative muon-spin rotation/relaxation ($\mu$SR) studies of superconducting noncentrosymmetric Re$_{0.82}$Nb$_{0.18}$ ($T_c = 8.8$ K) and centr
Externí odkaz:
http://arxiv.org/abs/1811.11793